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lshqqytiger / stable-diffusion-webui-amdgpu

Stable Diffusion web UI
GNU Affero General Public License v3.0
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[Bug]: Error when trying to use directml #386

Closed sasoriza closed 7 months ago

sasoriza commented 7 months ago

Checklist

What happened?

Starting webui-user.bat without command parameters will throw this error: Torch is not able to use GPU; add --skip-torch-cuda-test to COMMANDLINE_ARGS variable to disable this check

Trying to start webui-user.bat with command parameters (--use-directml --update-all-extensions --medvram --opt-sub-quad-attention --opt-split-attention --no-half --upcast-sampling --update-check) after adding torch-directml to requirements_versions.txt will throw these errors:

Style database not found: C:\Users\user\AppData\Roaming\Automatic111\stable-diffusion-webui-directml\styles.csv
Traceback (most recent call last):
  File "C:\Users\user\AppData\Roaming\Automatic111\stable-diffusion-webui-directml\venv\lib\site-packages\transformers\utils\import_utils.py", line 1086, in _get_module
    return importlib.import_module("." + module_name, self.__name__)
  File "C:\Users\user\AppData\Local\Programs\Python\Python310\lib\importlib\__init__.py", line 126, in import_module
    return _bootstrap._gcd_import(name[level:], package, level)
  File "<frozen importlib._bootstrap>", line 1050, in _gcd_import
  File "<frozen importlib._bootstrap>", line 1027, in _find_and_load
  File "<frozen importlib._bootstrap>", line 1006, in _find_and_load_unlocked
  File "<frozen importlib._bootstrap>", line 688, in _load_unlocked
  File "<frozen importlib._bootstrap_external>", line 883, in exec_module
  File "<frozen importlib._bootstrap>", line 241, in _call_with_frames_removed
  File "C:\Users\user\AppData\Roaming\Automatic111\stable-diffusion-webui-directml\venv\lib\site-packages\transformers\modeling_tf_utils.py", line 76, in <module>
    from keras.__internal__ import KerasTensor
ModuleNotFoundError: No module named 'keras.__internal__'

The above exception was the direct cause of the following exception:

Traceback (most recent call last):
  File "C:\Users\user\AppData\Roaming\Automatic111\stable-diffusion-webui-directml\venv\lib\site-packages\transformers\utils\import_utils.py", line 1086, in _get_module
    return importlib.import_module("." + module_name, self.__name__)
  File "C:\Users\user\AppData\Local\Programs\Python\Python310\lib\importlib\__init__.py", line 126, in import_module
    return _bootstrap._gcd_import(name[level:], package, level)
  File "<frozen importlib._bootstrap>", line 1050, in _gcd_import
  File "<frozen importlib._bootstrap>", line 1027, in _find_and_load
  File "<frozen importlib._bootstrap>", line 1006, in _find_and_load_unlocked
  File "<frozen importlib._bootstrap>", line 688, in _load_unlocked
  File "<frozen importlib._bootstrap_external>", line 883, in exec_module
  File "<frozen importlib._bootstrap>", line 241, in _call_with_frames_removed
  File "C:\Users\user\AppData\Roaming\Automatic111\stable-diffusion-webui-directml\venv\lib\site-packages\optimum\onnxruntime\modeling_diffusion.py", line 41, in <module>
    from ..exporters.onnx import main_export
  File "C:\Users\user\AppData\Roaming\Automatic111\stable-diffusion-webui-directml\venv\lib\site-packages\optimum\exporters\__init__.py", line 16, in <module>
    from .tasks import TasksManager  # noqa
  File "C:\Users\user\AppData\Roaming\Automatic111\stable-diffusion-webui-directml\venv\lib\site-packages\optimum\exporters\tasks.py", line 52, in <module>
    from transformers import TFPreTrainedModel
  File "<frozen importlib._bootstrap>", line 1075, in _handle_fromlist
  File "C:\Users\user\AppData\Roaming\Automatic111\stable-diffusion-webui-directml\venv\lib\site-packages\transformers\utils\import_utils.py", line 1076, in __getattr__
    module = self._get_module(self._class_to_module[name])
  File "C:\Users\user\AppData\Roaming\Automatic111\stable-diffusion-webui-directml\venv\lib\site-packages\transformers\utils\import_utils.py", line 1088, in _get_module
    raise RuntimeError(
RuntimeError: Failed to import transformers.modeling_tf_utils because of the following error (look up to see its traceback):
No module named 'keras.__internal__'

The above exception was the direct cause of the following exception:

Traceback (most recent call last):
  File "C:\Users\user\AppData\Roaming\Automatic111\stable-diffusion-webui-directml\launch.py", line 48, in <module>
    main()
  File "C:\Users\user\AppData\Roaming\Automatic111\stable-diffusion-webui-directml\launch.py", line 44, in main
    start()
  File "C:\Users\user\AppData\Roaming\Automatic111\stable-diffusion-webui-directml\modules\launch_utils.py", line 677, in start
    import webui
  File "C:\Users\user\AppData\Roaming\Automatic111\stable-diffusion-webui-directml\webui.py", line 13, in <module>
    initialize.imports()
  File "C:\Users\user\AppData\Roaming\Automatic111\stable-diffusion-webui-directml\modules\initialize.py", line 34, in imports
    shared_init.initialize()
  File "C:\Users\user\AppData\Roaming\Automatic111\stable-diffusion-webui-directml\modules\shared_init.py", line 57, in initialize
    initialize_onnx()
  File "C:\Users\user\AppData\Roaming\Automatic111\stable-diffusion-webui-directml\modules\onnx_impl\__init__.py", line 236, in initialize
    from .pipelines.onnx_stable_diffusion_xl_pipeline import OnnxStableDiffusionXLPipeline
  File "C:\Users\user\AppData\Roaming\Automatic111\stable-diffusion-webui-directml\modules\onnx_impl\pipelines\onnx_stable_diffusion_xl_pipeline.py", line 8, in <module>
    class OnnxStableDiffusionXLPipeline(CallablePipelineBase, optimum.onnxruntime.ORTStableDiffusionXLPipeline):
  File "C:\Users\user\AppData\Roaming\Automatic111\stable-diffusion-webui-directml\venv\lib\site-packages\transformers\utils\import_utils.py", line 1076, in __getattr__
    module = self._get_module(self._class_to_module[name])
  File "C:\Users\user\AppData\Roaming\Automatic111\stable-diffusion-webui-directml\venv\lib\site-packages\transformers\utils\import_utils.py", line 1088, in _get_module
    raise RuntimeError(
RuntimeError: Failed to import optimum.onnxruntime.modeling_diffusion because of the following error (look up to see its traceback):
Failed to import transformers.modeling_tf_utils because of the following error (look up to see its traceback):
No module named 'keras.__internal__'

Steps to reproduce the problem

  1. Add torch-directml to requirements_versions.txt
  2. Start webui-user.bat with these command parameters: --use-directml --update-all-extensions --medvram --opt-sub-quad-attention --opt-split-attention --no-half --upcast-sampling --update-check

What should have happened?

It should have started correctly...

What browsers do you use to access the UI ?

Mozilla Firefox

Sysinfo

Can't even get it to start

Console logs

PS C:\Users\user\AppData\Roaming\Automatic111\stable-diffusion-webui-directml> .\webui-user.bat
venv "C:\Users\user\AppData\Roaming\Automatic111\stable-diffusion-webui-directml\venv\Scripts\Python.exe"
fatal: No names found, cannot describe anything.
Python 3.10.6 (tags/v3.10.6:9c7b4bd, Aug  1 2022, 21:53:49) [MSC v.1932 64 bit (AMD64)]
Version: 1.7.0
Commit hash: 835ee2013fc46230271a02a002b4ba08c689f62d
Traceback (most recent call last):
  File "C:\Users\user\AppData\Roaming\Automatic111\stable-diffusion-webui-directml\launch.py", line 48, in <module>
    main()
  File "C:\Users\user\AppData\Roaming\Automatic111\stable-diffusion-webui-directml\launch.py", line 39, in main
    prepare_environment()
  File "C:\Users\user\AppData\Roaming\Automatic111\stable-diffusion-webui-directml\modules\launch_utils.py", line 560, in prepare_environment
    raise RuntimeError(
RuntimeError: Torch is not able to use GPU; add --skip-torch-cuda-test to COMMANDLINE_ARGS variable to disable this check
Drücken Sie eine beliebige Taste . . .
PS C:\Users\user\AppData\Roaming\Automatic111\stable-diffusion-webui-directml> .\venv\Scripts\activate
(venv) PS C:\Users\user\AppData\Roaming\Automatic111\stable-diffusion-webui-directml> pip install -r .\requirements.txt
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Installing collected packages: wcwidth, trampoline, tokenizers, sentencepiece, resize-right, pytz, pyreadline3, pydub, namex, lmdb, libclang, flatbuffers, ffmpy, dm-tree, antlr4-python3-runtime, aenum, addict, zipp, xxhash, wrapt, wheel, werkzeug, websockets, tzdata, toolz, tomli, tifffile, termcolor, tensorflow-io-gcs-filesystem, tensorboard-data-server, sniffio, smmap, six, semantic-version, scipy, safetensors, rpds-py, regex, pyyaml, python-multipart, pyparsing, pygments, pydantic, pyarrow, psutil, protobuf, platformdirs, piexif, packaging, orjson, opt-einsum, opencv-python, multidict, ml-dtypes, mdurl, markdown, Mako, llvmlite, lazy_loader, lark, kiwisolver, inflection, importlib-resources, imageio, humanfriendly, h5py, h11, grpcio, greenlet, gast, future, ftfy, frozenlist, fonttools, exceptiongroup, einops, dill, cycler, contourpy, colorama, blendmodes, attrs, async-timeout, aiofiles, absl-py, yarl, tqdm, sqlalchemy, scikit-image, referencing, python-dateutil, onnx, omegaconf, numba, multiprocess, markdown-it-py, lightning-utilities, importlib-metadata, httpcore, google-pasta, gitdb, colorlog, coloredlogs, click, astunparse, anyio, aiosignal, yapf, uvicorn, torchsde, torchmetrics, torchdiffeq, tomesd, starlette, rich, pandas, onnxruntime, matplotlib, kornia, jsonschema-specifications, huggingface-hub, httpx, GitPython, alembic, aiohttp, transformers, timm, optuna, keras-nightly, jsonschema, gradio-client, filterpy, fastapi, diffusers, clean-fid, accelerate, pytorch_lightning, open-clip-torch, olive-ai, jsonmerge, facexlib, datasets, altair, optimum, gradio, tf-nightly-intel, tf-nightly, tf-keras-nightly, tb-nightly, basicsr, gfpgan, realesrgan
Successfully installed GitPython-3.1.41 Mako-1.3.2 absl-py-2.1.0 accelerate-0.27.2 addict-2.4.0 aenum-3.1.15 aiofiles-23.2.1 aiohttp-3.9.3 aiosignal-1.3.1 alembic-1.13.1 altair-5.2.0 antlr4-python3-runtime-4.9.3 anyio-4.2.0 astunparse-1.6.3 async-timeout-4.0.3 attrs-23.2.0 basicsr-1.4.2 blendmodes-2024.1 clean-fid-0.1.35 click-8.1.7 colorama-0.4.6 coloredlogs-15.0.1 colorlog-6.8.2 contourpy-1.2.0 cycler-0.12.1 datasets-2.14.4 diffusers-0.26.3 dill-0.3.7 dm-tree-0.1.8 einops-0.7.0 exceptiongroup-1.2.0 facexlib-0.3.0 fastapi-0.109.2 ffmpy-0.3.2 filterpy-1.4.5 flatbuffers-23.5.26 fonttools-4.48.1 frozenlist-1.4.1 ftfy-6.1.3 future-0.18.3 gast-0.5.4 gfpgan-1.3.8 gitdb-4.0.11 google-pasta-0.2.0 gradio-3.41.2 gradio-client-0.5.0 greenlet-3.0.3 grpcio-1.60.1 h11-0.14.0 h5py-3.10.0 httpcore-1.0.3 httpx-0.26.0 huggingface-hub-0.20.3 humanfriendly-10.0 imageio-2.34.0 importlib-metadata-7.0.1 importlib-resources-6.1.1 inflection-0.5.1 jsonmerge-1.9.2 jsonschema-4.21.1 jsonschema-specifications-2023.12.1 keras-nightly-3.0.4.dev2024021403 kiwisolver-1.4.5 kornia-0.7.1 lark-1.1.9 lazy_loader-0.3 libclang-16.0.6 lightning-utilities-0.10.1 llvmlite-0.42.0 lmdb-1.4.1 markdown-3.5.2 markdown-it-py-3.0.0 matplotlib-3.8.2 mdurl-0.1.2 ml-dtypes-0.3.2 multidict-6.0.5 multiprocess-0.70.15 namex-0.0.7 numba-0.59.0 olive-ai-0.4.0 omegaconf-2.3.0 onnx-1.15.0 onnxruntime-1.17.0 open-clip-torch-2.24.0 opencv-python-4.9.0.80 opt-einsum-3.3.0 optimum-1.16.2 optuna-3.5.0 orjson-3.9.14 packaging-23.2 pandas-2.2.0 piexif-1.1.3 platformdirs-4.2.0 protobuf-3.20.3 psutil-5.9.8 pyarrow-15.0.0 pydantic-1.10.14 pydub-0.25.1 pygments-2.17.2 pyparsing-3.1.1 pyreadline3-3.4.1 python-dateutil-2.8.2 python-multipart-0.0.9 pytorch_lightning-2.2.0.post0 pytz-2024.1 pyyaml-6.0.1 realesrgan-0.3.0 referencing-0.33.0 regex-2023.12.25 resize-right-0.0.2 rich-13.7.0 rpds-py-0.18.0 safetensors-0.4.2 scikit-image-0.22.0 scipy-1.12.0 semantic-version-2.10.0 sentencepiece-0.1.99 six-1.16.0 smmap-5.0.1 sniffio-1.3.0 sqlalchemy-2.0.27 starlette-0.36.3 tb-nightly-2.16.0a20240212 tensorboard-data-server-0.7.2 tensorflow-io-gcs-filesystem-0.31.0 termcolor-2.4.0 tf-keras-nightly-2.17.0.dev2024021422 tf-nightly-2.17.0.dev20240214 tf-nightly-intel-2.17.0.dev20240214 tifffile-2024.2.12 timm-0.9.12 tokenizers-0.13.3 tomesd-0.1.3 tomli-2.0.1 toolz-0.12.1 torchdiffeq-0.2.3 torchmetrics-0.10.3 torchsde-0.2.6 tqdm-4.66.2 trampoline-0.1.2 transformers-4.30.2 tzdata-2024.1 uvicorn-0.27.1 wcwidth-0.2.13 websockets-11.0.3 werkzeug-3.0.1 wheel-0.42.0 wrapt-1.16.0 xxhash-3.4.1 yapf-0.40.2 yarl-1.9.4 zipp-3.17.0

[notice] A new release of pip available: 22.2.1 -> 24.0
[notice] To update, run: python.exe -m pip install --upgrade pip
(venv) PS C:\Users\user\AppData\Roaming\Automatic111\stable-diffusion-webui-directml> .\webui-user.bat
venv "C:\Users\user\AppData\Roaming\Automatic111\stable-diffusion-webui-directml\venv\Scripts\Python.exe"
fatal: No names found, cannot describe anything.
Python 3.10.6 (tags/v3.10.6:9c7b4bd, Aug  1 2022, 21:53:49) [MSC v.1932 64 bit (AMD64)]
Version: 1.7.0
Commit hash: 835ee2013fc46230271a02a002b4ba08c689f62d
Installing clip
Cloning Stable Diffusion into C:\Users\user\AppData\Roaming\Automatic111\stable-diffusion-webui-directml\repositories\stable-diffusion-stability-ai...
Cloning into 'C:\Users\user\AppData\Roaming\Automatic111\stable-diffusion-webui-directml\repositories\stable-diffusion-stability-ai'...
remote: Enumerating objects: 580, done.
remote: Counting objects: 100% (357/357), done.
remote: Compressing objects: 100% (128/128), done.
remote: Total 580 (delta 260), reused 229 (delta 229), pack-reused 223Receiving objects:  93% (540/580), 69.13 MiB | 12.54 MiB/s
Receiving objects: 100% (580/580), 73.44 MiB | 12.50 MiB/s, done.
Resolving deltas: 100% (279/279), done.
Cloning Stable Diffusion XL into C:\Users\user\AppData\Roaming\Automatic111\stable-diffusion-webui-directml\repositories\generative-models...
Cloning into 'C:\Users\user\AppData\Roaming\Automatic111\stable-diffusion-webui-directml\repositories\generative-models'...
remote: Enumerating objects: 860, done.
remote: Counting objects: 100% (489/489), done.
remote: Compressing objects: 100% (222/222), done.
remote: Total 860 (delta 368), reused 267 (delta 267), pack-reused 371
Receiving objects: 100% (860/860), 42.67 MiB | 12.54 MiB/s, done.
Resolving deltas: 100% (445/445), done.
Cloning K-diffusion into C:\Users\user\AppData\Roaming\Automatic111\stable-diffusion-webui-directml\repositories\k-diffusion...
Cloning into 'C:\Users\user\AppData\Roaming\Automatic111\stable-diffusion-webui-directml\repositories\k-diffusion'...
remote: Enumerating objects: 1340, done.
remote: Counting objects: 100% (622/622), done.
remote: Compressing objects: 100% (86/86), done.
remote: Total 1340 (delta 576), reused 547 (delta 536), pack-reused 718
Receiving objects: 100% (1340/1340), 242.04 KiB | 5.04 MiB/s, done.
Resolving deltas: 100% (939/939), done.
Cloning CodeFormer into C:\Users\user\AppData\Roaming\Automatic111\stable-diffusion-webui-directml\repositories\CodeFormer...
Cloning into 'C:\Users\user\AppData\Roaming\Automatic111\stable-diffusion-webui-directml\repositories\CodeFormer'...
remote: Enumerating objects: 594, done.
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remote: Total 594 (delta 288), reused 491 (delta 268), pack-reused 0Receiving objects:  99% (589/594), 12.31 MiB | 12.29 MiB/s
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Resolving deltas: 100% (288/288), done.
Cloning BLIP into C:\Users\user\AppData\Roaming\Automatic111\stable-diffusion-webui-directml\repositories\BLIP...
Cloning into 'C:\Users\user\AppData\Roaming\Automatic111\stable-diffusion-webui-directml\repositories\BLIP'...
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Installing requirements for CodeFormer
Installing requirements
no module 'xformers'. Processing without...
no module 'xformers'. Processing without...
No module 'xformers'. Proceeding without it.
C:\Users\user\AppData\Roaming\Automatic111\stable-diffusion-webui-directml\venv\lib\site-packages\pytorch_lightning\utilities\distributed.py:258: LightningDeprecationWarning: `pytorch_lightning.utilities.distributed.rank_zero_only` has been deprecated in v1.8.1 and will be removed in v2.0.0. You can import it from `pytorch_lightning.utilities` instead.
  rank_zero_deprecation(
Installing onnxruntime-directml
2024-02-15 02:06:20.630333: I tensorflow/core/util/port.cc:113] oneDNN custom operations are on. You may see slightly different numerical results due to floating-point round-off errors from different computation orders. To turn them off, set the environment variable `TF_ENABLE_ONEDNN_OPTS=0`.
2024-02-15 02:06:21.900496: I tensorflow/core/util/port.cc:113] oneDNN custom operations are on. You may see slightly different numerical results due to floating-point round-off errors from different computation orders. To turn them off, set the environment variable `TF_ENABLE_ONEDNN_OPTS=0`.
Olive: Failed to load olive-ai: Failed to import transformers.models.gpt2.modeling_tf_gpt2 because of the following error (look up to see its traceback):
No module named 'keras.__internal__'
You are up to date with the most recent release.
Launching Web UI with arguments: --use-directml --update-all-extensions --medvram --opt-sub-quad-attention --opt-split-attention --no-half --upcast-sampling --update-check
Style database not found: C:\Users\user\AppData\Roaming\Automatic111\stable-diffusion-webui-directml\styles.csv
Traceback (most recent call last):
  File "C:\Users\user\AppData\Roaming\Automatic111\stable-diffusion-webui-directml\venv\lib\site-packages\transformers\utils\import_utils.py", line 1086, in _get_module
    return importlib.import_module("." + module_name, self.__name__)
  File "C:\Users\user\AppData\Local\Programs\Python\Python310\lib\importlib\__init__.py", line 126, in import_module
    return _bootstrap._gcd_import(name[level:], package, level)
  File "<frozen importlib._bootstrap>", line 1050, in _gcd_import
  File "<frozen importlib._bootstrap>", line 1027, in _find_and_load
  File "<frozen importlib._bootstrap>", line 1006, in _find_and_load_unlocked
  File "<frozen importlib._bootstrap>", line 688, in _load_unlocked
  File "<frozen importlib._bootstrap_external>", line 883, in exec_module
  File "<frozen importlib._bootstrap>", line 241, in _call_with_frames_removed
  File "C:\Users\user\AppData\Roaming\Automatic111\stable-diffusion-webui-directml\venv\lib\site-packages\transformers\modeling_tf_utils.py", line 76, in <module>
    from keras.__internal__ import KerasTensor
ModuleNotFoundError: No module named 'keras.__internal__'

The above exception was the direct cause of the following exception:

Traceback (most recent call last):
  File "C:\Users\user\AppData\Roaming\Automatic111\stable-diffusion-webui-directml\venv\lib\site-packages\transformers\utils\import_utils.py", line 1086, in _get_module
    return importlib.import_module("." + module_name, self.__name__)
  File "C:\Users\user\AppData\Local\Programs\Python\Python310\lib\importlib\__init__.py", line 126, in import_module
    return _bootstrap._gcd_import(name[level:], package, level)
  File "<frozen importlib._bootstrap>", line 1050, in _gcd_import
  File "<frozen importlib._bootstrap>", line 1027, in _find_and_load
  File "<frozen importlib._bootstrap>", line 1006, in _find_and_load_unlocked
  File "<frozen importlib._bootstrap>", line 688, in _load_unlocked
  File "<frozen importlib._bootstrap_external>", line 883, in exec_module
  File "<frozen importlib._bootstrap>", line 241, in _call_with_frames_removed
  File "C:\Users\user\AppData\Roaming\Automatic111\stable-diffusion-webui-directml\venv\lib\site-packages\optimum\onnxruntime\modeling_diffusion.py", line 41, in <module>
    from ..exporters.onnx import main_export
  File "C:\Users\user\AppData\Roaming\Automatic111\stable-diffusion-webui-directml\venv\lib\site-packages\optimum\exporters\__init__.py", line 16, in <module>
    from .tasks import TasksManager  # noqa
  File "C:\Users\user\AppData\Roaming\Automatic111\stable-diffusion-webui-directml\venv\lib\site-packages\optimum\exporters\tasks.py", line 52, in <module>
    from transformers import TFPreTrainedModel
  File "<frozen importlib._bootstrap>", line 1075, in _handle_fromlist
  File "C:\Users\user\AppData\Roaming\Automatic111\stable-diffusion-webui-directml\venv\lib\site-packages\transformers\utils\import_utils.py", line 1076, in __getattr__
    module = self._get_module(self._class_to_module[name])
  File "C:\Users\user\AppData\Roaming\Automatic111\stable-diffusion-webui-directml\venv\lib\site-packages\transformers\utils\import_utils.py", line 1088, in _get_module
    raise RuntimeError(
RuntimeError: Failed to import transformers.modeling_tf_utils because of the following error (look up to see its traceback):
No module named 'keras.__internal__'

The above exception was the direct cause of the following exception:

Traceback (most recent call last):
  File "C:\Users\user\AppData\Roaming\Automatic111\stable-diffusion-webui-directml\launch.py", line 48, in <module>
    main()
  File "C:\Users\user\AppData\Roaming\Automatic111\stable-diffusion-webui-directml\launch.py", line 44, in main
    start()
  File "C:\Users\user\AppData\Roaming\Automatic111\stable-diffusion-webui-directml\modules\launch_utils.py", line 677, in start
    import webui
  File "C:\Users\user\AppData\Roaming\Automatic111\stable-diffusion-webui-directml\webui.py", line 13, in <module>
    initialize.imports()
  File "C:\Users\user\AppData\Roaming\Automatic111\stable-diffusion-webui-directml\modules\initialize.py", line 34, in imports
    shared_init.initialize()
  File "C:\Users\user\AppData\Roaming\Automatic111\stable-diffusion-webui-directml\modules\shared_init.py", line 57, in initialize
    initialize_onnx()
  File "C:\Users\user\AppData\Roaming\Automatic111\stable-diffusion-webui-directml\modules\onnx_impl\__init__.py", line 236, in initialize
    from .pipelines.onnx_stable_diffusion_xl_pipeline import OnnxStableDiffusionXLPipeline
  File "C:\Users\user\AppData\Roaming\Automatic111\stable-diffusion-webui-directml\modules\onnx_impl\pipelines\onnx_stable_diffusion_xl_pipeline.py", line 8, in <module>
    class OnnxStableDiffusionXLPipeline(CallablePipelineBase, optimum.onnxruntime.ORTStableDiffusionXLPipeline):
  File "C:\Users\user\AppData\Roaming\Automatic111\stable-diffusion-webui-directml\venv\lib\site-packages\transformers\utils\import_utils.py", line 1076, in __getattr__
    module = self._get_module(self._class_to_module[name])
  File "C:\Users\user\AppData\Roaming\Automatic111\stable-diffusion-webui-directml\venv\lib\site-packages\transformers\utils\import_utils.py", line 1088, in _get_module
    raise RuntimeError(
RuntimeError: Failed to import optimum.onnxruntime.modeling_diffusion because of the following error (look up to see its traceback):
Failed to import transformers.modeling_tf_utils because of the following error (look up to see its traceback):
No module named 'keras.__internal__'

Additional information

No response

Maxmaxio01 commented 7 months ago

me too!!! I reinstall many time it same ploblem.

sa20001 commented 7 months ago

I went back to commit d500e58a65d99bfaa9c7bb0da6c3eb5704fadf25, on that commit it still works git checkout d500e58a65d99bfaa9c7bb0da6c3eb5704fadf25

Maxmaxio01 commented 7 months ago

I went back to commit d500e58, on that commit it still works git checkout d500e58a65d99bfaa9c7bb0da6c3eb5704fadf25

hey!!! so thank you dude it work!!!!

notloged commented 7 months ago

same error here

demon8555 commented 7 months ago

Don't we have to use the --use-cpu-torch argument?

doctorzgh commented 7 months ago

me too

Tatalebuj commented 7 months ago

Don't we have to use the --use-cpu-torch argument?

This is what I was thinking.....but I don't know if that's true or not.

lshqqytiger commented 7 months ago

Please remove venv folder and try again.

sasoriza commented 7 months ago

I tried, but I am still getting the "Torch is not able to use GPU" error. I tried running webui-user.bat without command line arguments and with the ones I posted above, I am always getting the error even after deleting the venv folder.

EDIT: I got it to work by replacing the line torch with torch-directml in requirements_versions.txt instead of adding it below